My research is partially supported by National Institutes of Health (NCI) and National Science Foundation (DMS) research grants.

  35. Jiang J, Nguyen T and Rao JS. Predictive model selection using the fence method.
  34. Jiang J, Nguyen T. andd Rao JS. A simple adaptive fence procedure for mixed model selection. To appear in Statistics and Probability Letters .
  33. Xing G and Rao JS. Lassoing mixtures. Submitted.
  32. Ishwaran H and Rao JS. Clustering gene expression profiles using selective shrinkage. Statistics and Probability Letters, 78:1490-1497, 2008.
  31. Jiang J, Nguyen T and Rao JS. Fence methods for small area estimation. Submitted.
  30. Dazard JE, Rao JS, Platzer P, Wilson K, and Markowitz S. A statsitical view of molecular heterogeneity of colon cancer metastasis using sparse bump hunting. Submitted.
  29. Cartier KC, Miscimarra L, Dazard JE, Iyengar SK and Rao JS. Studying genetic determinants of natural variation in human gene expression using Bayesian ANOVA. BMC-Genetics (to appear).
  28. Xing G and Rao JS. A simple method for Bayesian robust estimation. Submitted.
  27. Hu S and Rao JS. Sparse penalization with censoring constraints for estimating high dimensional AFT models with applications to microarray data analysis. Submitted.
  26. Diaz M and Rao JS. Non-parametric bootstrap ensembles for detection of tumor lesions. Pattern Recognition Letters, 28:2273-2283, 2007.
  25. Rao JS, Karanam S, McCabe CD, and Moreno C. Global promoter analysis of the human genome identifies functional clusters and transcription factor binding sites. Advances in Bioinformatics (to appear).
  24. Jiang J, Rao JS, Gu Z and Nguyen T. Fence methods for mixed model selection. Annals of Statistics, 36:1669-1692, 2008.
  23. Hu S and Rao JS. Statistical redundancy testing for improved gene selection for cancer classification using microarray data. Cancer Informatics,2:29-41, 2007.
  22. Ishwaran H, Rao JS, and Kogalur UB. BAMarray: Java software for Bayesian analysis of variance for microarray data. BMC- Bioinformatics,7:59, 2006.
  21. Dey T, Ishwaran H and Rao JS. An in-depth look at highest posterior model selection. Econometric Theory , 24:277-403, 2008.
  20. Chen WD, Han ZJ, Skoletsky J, Olson J, Sah J, Myeroff L, Platzer P, Lu S, Dawson D, Willis J, Pretlow TP, Lutterbaugh J, Kasturi L, Rao JS, Willson JKV, Shuber A, Markowitz SD. Detection in fecal DNA of colon cancer specific methylation of the non-expressed vimentin gene (with discussion). Journal of the National Cancer Institute, 97:1124-1132, 2005.
  19. Ishwaran H and Rao JS. Spike and slab variable selection : frequentist and Bayesian strategies. Annals of Statistics, 33:730-773, 2005.
  18. Ishwaran H and Rao JS. Spike and slab gene selection for multigroup microarray data. Journal of the American Statistical Association, 100:764-780, 2005.
  17. Fu P and Rao JS. On a simple method for analyzing multivariate survival data using sample survey methods. Journal of Modern Applied Statistical Methods 3:345-356, 2004.


Ishwaran H and Rao JS. Discussion to "Frequentist model average estimators and the focussed information criterion" by Hjort and Claeskens. Journal of the American Statistical Association 98:922-925, 2003.
  15. Ishwaran H and Rao JS. Detecting differentially expressed genes in microarrays using Bayesian model selection. Journal of the American Statisical Association 98:438-455, 2003.
  14. Jiang J and Rao JS. Consistent procedures for mixed linear model selection. Sankhya A 65:23-42, 2003.
  13. Rao JS and Li J. Statistical methods for chip calibration and saturation effects in antibody-spiked gene expression data. Respiration Physiology and Neurobiology (special issue on microarrays) 135:109-119, 2003.
  12. Fu P, Rao JS and Jiang J. Robust estimation of multivariate failure data with time-modulated frailty. Journal of Modern Applied Statistical Methods 1:367-378, 2002.
  11. Averbook BJ, Fu P, Rao JS and Mansour EG. A long-term analysis of 1,018 patients with melanoma by classic Cox regression and tree-structured survival analysis at a major referral center: Implications on the future of cancer staging. Surgery 132:589-604, 2002.
  10. Rao JS and Bond M. Microarrays: managing the data deluge. Circulation Research 88:1266-1267, 2001.
  9. Colin A, Rao JS, Chen XC, Hunter J, Hanrahan J, Hiatt P, Kattan M, Koumbourlis A, Mellins RB, Platzker ACG, Ting A, Steinbach S, Wohl ME for the Pediatric Pulmonary and Cardiovascular Complications of Vertically Transmitted Human Immunodeficiency Virus (P2C2 HIV) Study Group NHLBI. Forced expiratory flow in uninfected infants and young children born to HIV infected mothers. American Journal of Critical Care and Respiratory Medicine 63:865-873, 2001.
  8. Porter JD, Khanna S, Kaminski HJ, Rao JS, Merriam AP, Richmonds CR, Leahy P, Li J, Andrade FH. Extraocular muscle is defined by a fundamentally distinct gene expression profile. PNAS 98:12062-12067, 2001.
  7. Shao J and Rao JS. The GIC for model selection: A hypothesis testing approach. Journal of Statistical Planning and Inference 88:215-231, 2000.
  6. Rao JS. Bootstrapping to assess and improve atmospheric prediction models. Journal of Data Mining Knowledge Discovery 4:29-41, 2000.
  5. Rao JS. Bootstrap choice of cost complexity parameter for better subset selection. Statistica Sinica, 9:273-287,1999.
  4. Tan M, Qu Y and Rao JS. Sensitivity of the latent variable model for correlated binary data. Biometrics 55:25-31, 1999.
  3. Berhane K.and Rao JS Automatic smoothing parameter selection in nonparameteric models for longitudinal data. Applied Stochastic Models and Data Analysis 13:289-296, 1998.
  2. Rao JS and Potts WJE Visualizing bagged decision trees. Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, Newport Beach, CA, AAAI Press, 243-246, 1997.
  1. Shen SY and Rao JS. Weight decay-a new regression shrinkage method. Computing Science and Statistics 29:488-491, 1997.